10 Essential AI Courses for VPs of Strategy in 2025

The rapid growth of artificial intelligence (AI) is reshaping industries and redefining roles across the board, making it imperative for professionals to stay ahead of the curve. For VPs of Strategy, the integration of AI into business processes is not just an option—it's a necessity. As strategies evolve to incorporate AI capabilities, understanding and leveraging these technologies can significantly impact job performance and career trajectory. This underscores the importance of upskilling to navigate the changing landscape and ensure competitive advantage in strategic decision-making.

Why AI Matters for VPs of Strategy Today

AI's significance for VPs of Strategy is underscored by its growing adoption across industries. According to recent data, 69% of businesses are already utilizing AI in some form, illustrating its pervasive influence. For strategy professionals, AI offers a powerful toolkit for enhancing business operations and driving innovation. This article aims to assist VPs of Strategy by presenting a detailed comparison of 11 leading AI courses, including the CompleteAI Training, that are specifically designed to equip them with the necessary skills and insights.

The Growing Role of AI in VPs of Strategy

AI applications in the strategy domain are diverse and transformative. From automating routine tasks to enhancing decision-making processes and enabling personalized customer experiences, AI is altering traditional workflows. Strategy professionals are increasingly turning to AI to analyze vast datasets, identify trends, and predict market changes. These capabilities not only streamline operations but also provide a strategic edge in crafting data-driven business strategies.

Benefits of Becoming an AI Expert in VPs of Strategy

For VPs of Strategy, gaining expertise in AI offers numerous advantages. It enhances one's ability to lead AI initiatives within an organization, fostering innovation and competitive differentiation. Furthermore, AI proficiency enables strategy leaders to make more informed decisions, optimize resources, and better anticipate future business challenges. By understanding AI's potential and limitations, strategy professionals can drive more effective change and contribute to sustainable business growth.

Comparison: All AI Courses for VPs of Strategy (Updated Q2' 2025)

Course Name	Provider	Price	Key Topics	Pros	Cons	Best For
AI for VPs of Strategy	CompleteAI Training	$29/month (monthly), $8.25/month (annually)	Over 100 specialized video courses, AI tools, industry news	Highest rating, Extensive range, Daily updates, Affordable	Subscription based, Continuous learning needed	VPs of Strategy professionals
AI Strategy and Leadership Program	MIT xPRO	US$7,750 (standard), US$6,897 (early registration)	AI strategy, Leadership development, Ethical AI governance	MIT faculty, Strategic leadership, Networking opportunities	High tuition fee, Time commitment	Senior leaders
AI Strategy for Business Leaders	Harvard DCE	$3,100 - $3,200	Strategic AI knowledge, Real-world case studies	Recognized expert instructors, Harvard certificate	High cost, On-campus sessions only	Business leaders
The Business of AI: Strategies for Leaders	London Business School	£2,195	Business value of AI, Strategic implementation	Practical approach, Flexible format	High course fee, Time commitment	Executives
Certificate Program in AI Business Strategy	Johns Hopkins University	$2,600	AI solutioning, Ethical practices, Risk management	Industry mentorship, Ethical focus	Higher price point	Business strategy roles
AI for Business Specialization	University of Pennsylvania (Wharton)	$79 for 4-month specialization	AI, Machine Learning, Big Data applications	Affordable, Practical projects	Time commitment	Non-data scientists
Artificial Intelligence Nanodegree Program	Udacity	$148.50/month or $504.90 for 4-month bundle	Optimization algorithms, Bayesian networks	Industry leaders, Hands-on projects	Technical, Requires programming background	General learners
Big Data, Artificial Intelligence and Ethics	University of California—Davis via Coursera	Free to audit; paid for certificate	Big data fundamentals, Ethical considerations	Free option, Beginner-friendly	Short duration, Less technical depth	General learners

Understanding AI Training for VPs of Strategy Professionals

As AI technology continues to influence various sectors, VPs of Strategy must stay informed and adapt to these changes. AI courses specifically designed for strategy professionals offer valuable insights and skills needed to integrate AI into strategic planning effectively. Below, we explore several AI courses tailored for VPs of Strategy, each providing unique benefits and learning experiences.

Course 1: CompleteAI Training

CompleteAI Training offers an extensive library of over 100 video courses and certifications specifically for VPs of Strategy. This subscription-based service provides daily updates on AI tools and industry news relevant to strategy professionals. The platform is designed to support continuous learning, ensuring leaders are always informed about the latest AI developments.

Key topics covered: AI application in strategic planning, AI tools and technologies, industry-specific AI trends.

Target audience and skill level requirements: Designed for mid-to-senior level strategy professionals; no technical background required.

Pros:
• Comprehensive course library tailored for strategy professionals.
• Daily updates on AI tools and industry news.
• Affordable pricing with annual subscription options.

Cons:
• Requires ongoing subscription for continuous updates and learning.

This course is ideal for strategy professionals seeking a cost-effective and continuous learning platform.

Course 2: AI Strategy and Leadership Program by MIT xPRO

The AI Strategy and Leadership Program by MIT xPRO is a 12-week executive program focusing on AI and data strategy. It combines strategic leadership development with hands-on AI knowledge, offering live online sessions with MIT faculty. Participants engage in capstone projects to apply their learning to real-world scenarios.

Key topics covered: AI implementation, data strategy, ethical AI governance, leadership development.

Target audience and skill level requirements: Senior leaders and VPs of Strategy; assumes familiarity with business strategy concepts.

Pros:
• Instruction from MIT faculty and industry leaders.
• Blend of strategic leadership and practical AI knowledge.
• Networking opportunities with peers and experts.

Cons:
• Higher tuition fee compared to other courses.
• Significant time commitment required.

This program benefits senior leaders seeking to integrate AI into their strategic framework with direct guidance from renowned experts.

Course 3: Designing and Building AI Products and Services by MIT xPRO

The Designing and Building AI Products and Services course is part of a 6-month integrated learning journey. It emphasizes the practical aspects of designing AI-driven products, complementing the strategic insights provided in the AI Strategy and Leadership Program.

Key topics covered: Product development, AI-driven innovation, scaling AI transformations.

Target audience and skill level requirements: Executives and leaders involved in product strategy; requires understanding of AI principles.

Pros:
• Focus on practical implementation of AI products.
• Access to cutting-edge insights and frameworks from MIT.

Cons:
• Only available as part of a costly 6-month package.
• High time commitment required.

Recommended for leaders aiming to drive AI product innovation within their organizations.

Course 4: AI Strategy for Business Leaders by Harvard DCE

The AI Strategy for Business Leaders course offered by Harvard DCE is a two-day intensive program. It focuses on the strategic and managerial aspects of AI, helping leaders craft actionable AI agendas for their organizations.

Key topics covered: AI’s transformative potential, strategic management, real-world case studies.

Target audience and skill level requirements: Business leaders and VPs of Strategy; no technical background necessary.

Pros:
• Taught by recognized AI experts.
• Focus on strategic, not technical, aspects of AI.
• Harvard certification adds credibility.

Cons:
• High cost and requires travel for on-campus attendance.

Ideal for executives seeking to enhance their strategic understanding of AI with a prestigious credential.

Course 5: The Business of AI: Strategies for Leaders by London Business School

The Business of AI: Strategies for Leaders course is an online offering from London Business School designed for executives. It focuses on the business value of AI, strategic implementation, and developing AI adoption plans.

Key topics covered: Strategic implementation, AI adoption, organizational challenges in AI.

Target audience and skill level requirements: Executives and mid-to-senior managers; suitable for those familiar with business strategy.

Pros:
• Emphasis on practical challenges and solutions in AI adoption.
• Flexible, self-paced format for busy professionals.

Cons:
• Course fee may be a barrier for some.
• Requires a significant time investment.

Well-suited for leaders needing a flexible option to explore AI’s strategic business applications.

Course 6: Certificate Program in AI Business Strategy by Johns Hopkins University

The Certificate Program in AI Business Strategy from Johns Hopkins University is a 10-week online course. It guides project managers and executives in driving AI innovation, focusing on AI solutioning and ethical practices.

Key topics covered: AI solutioning, ethical AI practices, risk management.

Target audience and skill level requirements: Project managers and executives; some familiarity with AI concepts is beneficial.

Pros:
• Strong focus on ethics and practical application.
• Industry mentorship and live masterclasses.

Cons:
• Higher cost compared to similar courses.

Best for those looking to integrate ethical AI practices into their business strategy.

Course 7: AI for Business Specialization by University of Pennsylvania (Wharton)

The AI for Business Specialization offered by Wharton covers AI applications in business contexts such as marketing and finance. This four-month program is designed for non-data scientists and business leaders.

Key topics covered: AI in marketing, finance, HR, ethical AI.

Target audience and skill level requirements: Non-technical business leaders; no programming experience required.

Pros:
• Focus on practical business applications of AI.
• Affordable and includes hands-on projects.

Cons:
• Time-intensive over four months.

Suited for business leaders seeking to leverage AI for organizational transformation.

Course 8: Artificial Intelligence Nanodegree Program by Udacity

The Artificial Intelligence Nanodegree Program from Udacity covers foundational AI concepts through hands-on projects. Ideal for those with a technical background, it includes building intelligent agents and exploring strategic decision-making.

Key topics covered: Optimization algorithms, minimax search, Bayesian networks.

Target audience and skill level requirements: Individuals with a programming background; more technical focus.

Pros:
• Taught by industry leaders with practical projects.
• Strong foundational skills in AI.

Cons:
• Higher cost and requires technical knowledge.

Recommended for technically inclined professionals eager to deepen their AI expertise.

Course 9: AI, Deep Learning and MLOps Courses by DeepLearning.AI

DeepLearning.AI offers a range of courses, from non-technical introductions to advanced specializations in machine learning and MLOps. Taught by Andrew Ng, these courses cover various aspects of AI and are available at flexible pricing.

Key topics covered: Machine learning, deep learning, MLOps, AI for Everyone.

Target audience and skill level requirements: Suitable for both beginners and advanced learners; some courses require technical background.

Pros:
• Wide range of topics and flexible pricing options.
• Courses taught by renowned AI expert.

Cons:
• Technical courses may not suit all learners.

Perfect for those looking for cost-effective, flexible learning options across different expertise levels.

Course 10: Big Data, Artificial Intelligence and Ethics by University of California—Davis via Coursera

The Big Data, Artificial Intelligence and Ethics course by UC Davis is aimed at beginners, exploring the basics of AI and big data with a focus on ethical considerations. It includes hands-on work with tools like IBM Watson.

Key topics covered: AI fundamentals, ethical AI, natural language processing.

Target audience and skill level requirements: Beginners interested in AI and ethics; no prior knowledge required.

Pros:
• Free auditing option available.
• Beginner-friendly introduction to AI.

Cons:
• Short duration with less technical depth.

Ideal for newcomers to AI seeking an ethical perspective on technology.

Overall Recommendations

When selecting an AI course, VPs of Strategy should consider their current skill level, learning preferences, and budget. For those seeking continuous updates and tailored content, CompleteAI Training offers an affordable and comprehensive solution. Professionals aiming for high-level strategic integration of AI might benefit from the MIT xPRO programs, though these require a greater time and financial investment.

For those interested in ethical considerations and foundational knowledge, the UC Davis course offers a beginner-friendly and cost-effective option. Meanwhile, the Wharton specialization is great for those focused on business applications without a technical background.

Ultimately, the best course depends on individual goals and the specific strategic needs of your organization. Each course offers unique benefits, helping strategy professionals effectively incorporate AI into their strategic initiatives.